diff --git a/src/pyuvdata/data/OVRO_LWA_FEKOBeams/OVRO_LWA_x.ffe b/src/pyuvdata/data/OVRO_LWA_FEKOBeams/OVRO_LWA_x.ffe new file mode 100644 index 0000000000..7e15873686 --- /dev/null +++ b/src/pyuvdata/data/OVRO_LWA_FEKOBeams/OVRO_LWA_x.ffe @@ -0,0 +1,98314 @@ + +#Configuration Name: StandardConfiguration1 +#Request Name: FarField1 +#Frequency: 1.00000000E+7 +#Coordinate System: Spherical +#No. of Theta Samples: 181 +#No. of Phi Samples: 181 +#Result Type: Gain +#No. of Header Lines: 1 +# "Theta" "Phi" "Re(Etheta)" "Im(Etheta)" "Re(Ephi)" "Im(Ephi)" "Gain(Theta)" "Gain(Phi)" "Gain(Total)" + 0.00000000E+0 0.00000000E+0 -1.51385203E-7 3.78444333E-8 -4.30077968E-3 -5.07565385E-3 -9.61862064E+1 -3.59112629E+0 -3.59112629E+0 + 1.00000000E+0 0.00000000E+0 -1.51713010E-7 3.80185989E-8 -4.30042434E-3 -5.07524585E-3 -9.61661749E+1 -3.59183264E+0 -3.59183264E+0 + 2.00000000E+0 0.00000000E+0 -1.52014573E-7 3.82131935E-8 -4.29935753E-3 -5.07402189E-3 -9.61473211E+1 -3.59395269E+0 -3.59395269E+0 + 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["FEKOBeam"] + + +class FEKOBeam(UVBeam): + """ + Defines a FEKO-specific subclass of UVBeam for reading FEKO ffe files. + + This class should not be interacted with directly, instead use the + read_feko_beam method on the UVBeam class. + + """ + + def nametopol(self, fname): + """ + Get name of the y file from the main filename. + + Parameters + ---------- + fname : str + Filename to parse. + + Returns + ------- + str + New file name. + """ + fnew = fname.replace("x", "y") + + return fnew + + def read_feko_beam( + self, + filename, + beam_type="power", + use_future_array_shapes=False, + feed_pol="x", + frequency=None, + telescope_name=None, + feed_name=None, + feed_version=None, + model_name=None, + model_version=None, + history="", + x_orientation=None, + reference_impedance=None, + extra_keywords=None, + run_check=True, + check_extra=True, + run_check_acceptability=True, + check_auto_power=True, + fix_auto_power=True, + ): + """ + Read in data from a FEKO ffe file. + + Parameters + ---------- + filename : str + The FEKO file to read from. + beam_type : str + What beam_type to read in ('power' or 'efield'). + use_future_array_shapes : bool + Option to convert to the future planned array shapes before the changes go + into effect by removing the spectral window axis. + feed_pol : str + The feed or polarization or list of feeds or polarizations the + files correspond to. + Defaults to 'x' (meaning x for efield or xx for power beams). + frequency : float or list of float + The frequency or list of frequencies corresponding to the filename(s). + This is assumed to be in the same order as the files. + If not passed, the code attempts to parse it from the filenames. + telescope_name : str + The name of the telescope corresponding to the filename(s). + feed_name : str + The name of the feed corresponding to the filename(s). + feed_version : str + The version of the feed corresponding to the filename(s). + model_name : str + The name of the model corresponding to the filename(s). + model_version : str + The version of the model corresponding to the filename(s). + history : str + A string detailing the history of the filename(s). + x_orientation : str, optional + Orientation of the physical dipole corresponding to what is + labelled as the x polarization. Options are "east" (indicating + east/west orientation) and "north" (indicating north/south orientation) + reference_impedance : float, optional + The reference impedance of the model(s). + extra_keywords : dict, optional + A dictionary containing any extra_keywords. + run_check : bool + Option to check for the existence and proper shapes of + required parameters after reading in the file. + check_extra : bool + Option to check optional parameters as well as + required ones. + run_check_acceptability : bool + Option to check acceptable range of the values of + required parameters after reading in the file. + check_auto_power : bool + For power beams, check whether the auto polarization beams have non-zero + imaginary values in the data_array (which should not mathematically exist). + fix_auto_power : bool + For power beams, if auto polarization beams with imaginary values are found, + fix those values so that they are real-only in data_array. + """ + basename = os.path.basename(filename) + self.filename = [basename] + self._filename.form = (1,) + + self.telescope_name = telescope_name + self.feed_name = feed_name + self.feed_version = feed_version + self.model_name = model_name + self.model_version = model_version + self.history = history + if not uvutils.history._check_history_version( + self.history, self.pyuvdata_version_str + ): + self.history += self.pyuvdata_version_str + + if x_orientation is not None: + self.x_orientation = x_orientation + if reference_impedance is not None: + self.reference_impedance = float(reference_impedance) + if extra_keywords is not None: + self.extra_keywords = extra_keywords + + if beam_type == "power": + self.Naxes_vec = 1 + + if feed_pol == "x": + feed_pol = "xx" + elif feed_pol == "y": + feed_pol = "yy" + + self.polarization_array = np.array([uvutils.polstr2num(feed_pol)]) + self.Npols = len(self.polarization_array) + self._set_power() + else: + self.Naxes_vec = 2 + self.Ncomponents_vec = 2 + + if feed_pol == "x": + self.feed_array = np.array(["x", "y"]) + elif feed_pol == "y": + self.feed_array = np.array(["y", "x"]) + + self.Nfeeds = self.feed_array.size + self._set_efield() + + self.data_normalization = "physical" + self.antenna_type = "simple" + + if not use_future_array_shapes: + self.Nspws = 1 + self.spw_array = np.array([0]) + self.pixel_coordinate_system = "az_za" + self._set_cs_params() + + with open(filename) as out_file: + line = out_file.readlines()[9].strip() # Get the line with column names + column_names = line.split('"')[1::2] + + theta_col = np.where(np.array(column_names) == "Theta")[0][0] + phi_col = np.where(np.array(column_names) == "Phi")[0][0] + + with open(filename) as fh: + data_chunks = fh.read()[1:].split( + "\n\n" + ) ## avoiding the row=1; there is a blank row at the start of every file + data_all = [ + i.splitlines()[9:] for i in data_chunks + ] ## skips the 9 lines of text in each chunk + + if beam_type == "efield": + filename2 = self.nametopol(filename) + with open(filename2) as fh: + data_chunks = fh.read()[1:].split( + "\n\n" + ) ## avoiding the row=1;there is a blank row at the start of every file + data_all2 = [ + i.splitlines()[9:] for i in data_chunks + ] ## skips the 9 lines of text in each chunk + + frequency = [ + float(i.split("Frequency")[1].split()[1]) for i in data_chunks[:-1] + ] + self.Nfreqs = len(frequency) + self.freq_array = np.zeros(self.Nfreqs) + self.freq_array = frequency + self.bandpass_array = np.zeros(self.Nfreqs) + + data_each = np.zeros((len(self.freq_array), np.shape(data_all[0])[0], 9)) + if beam_type == "efield": + data_each2 = np.zeros((len(self.freq_array), np.shape(data_all2[0])[0], 9)) + + for i in range(len(self.freq_array)): + data_each[i, :, :] = np.array( + [list(map(float, data.split())) for data in data_all[i]] + ) + if beam_type == "efield": + data_each2[i, :, :] = np.array( + [list(map(float, data.split())) for data in data_all2[i]] + ) + if i == 0: + theta_data = np.radians( + data_each[i, :, theta_col] + ) ## theta is always exported in degs + phi_data = np.radians( + data_each[i, :, phi_col] + ) ## phi is always exported in degs + + theta_axis = np.sort(np.unique(theta_data)) + phi_axis = np.sort(np.unique(phi_data)) + + if not theta_axis.size * phi_axis.size == theta_data.size: + raise ValueError("Data does not appear to be on a grid") + + theta_data = theta_data.reshape( + (theta_axis.size, phi_axis.size), order="F" + ) + phi_data = phi_data.reshape((theta_axis.size, phi_axis.size), order="F") + + if not uvutils.tools._test_array_constant_spacing( + theta_axis, tols=self._axis2_array.tols + ): + raise ValueError( + "Data does not appear to be regularly gridded in zenith angle" + ) + + if not uvutils.tools._test_array_constant_spacing( + phi_axis, tols=self._axis1_array.tols + ): + raise ValueError( + "Data does not appear to be regularly gridded in azimuth angle" + ) + self.axis1_array = phi_axis + self.Naxes1 = self.axis1_array.size + self.axis2_array = theta_axis + self.Naxes2 = self.axis2_array.size + + if self.beam_type == "power": + # type depends on whether cross pols are present + # (if so, complex, else float) + if complex in self._data_array.expected_type: + dtype_use = np.complex128 + else: + dtype_use = np.float64 + self.data_array = np.zeros( + self._data_array.expected_shape(self), dtype=dtype_use + ) + else: + self.data_array = np.zeros( + self._data_array.expected_shape(self), dtype=np.complex128 + ) + + # get beam + if self.beam_type == "power": + name = "Gain(Total)" + this_col = np.where(np.array(column_names) == name)[0] + data_col = this_col.tolist() + power_beam1 = 10 ** (data_each[i, :, data_col] / 10).reshape( + (theta_axis.size, phi_axis.size), order="F" + ) + self.data_array[0, 0, i, :, :] = power_beam1 + + else: + self.basis_vector_array = np.zeros( + (self.Naxes_vec, self.Ncomponents_vec, self.Naxes2, self.Naxes1) + ) + self.basis_vector_array[0, 0, :, :] = 1.0 + self.basis_vector_array[1, 1, :, :] = 1.0 + + theta_mag_col = np.where(np.array(column_names) == "Gain(Theta)")[0][0] + theta_real_col = np.where(np.array(column_names) == "Re(Etheta)")[0][0] + theta_imag_col = np.where(np.array(column_names) == "Im(Etheta)")[0][0] + phi_mag_col = np.where(np.array(column_names) == "Gain(Phi)")[0][0] + phi_real_col = np.where(np.array(column_names) == "Re(Ephi)")[0][0] + phi_imag_col = np.where(np.array(column_names) == "Im(Ephi)")[0][0] + + theta_mag = np.sqrt( + 10 ** (data_each[i, :, theta_mag_col] / 10) + ).reshape((theta_axis.size, phi_axis.size), order="F") + phi_mag = np.sqrt(10 ** (data_each[i, :, phi_mag_col] / 10)).reshape( + (theta_axis.size, phi_axis.size), order="F" + ) + # theta_phase = np.angle( + # data_each[i, :, theta_real_col] + 1j * data_c1[:, theta_imag_col] + # ) + # phi_phase = np.angle( + # data_each[i, :, phi_real_col] + 1j * data_c1[:, phi_imag_col] + # ) + theta_phase = np.angle( + data_each[i, :, theta_real_col] + + 1j * data_each[i, :, theta_imag_col] + ) + phi_phase = np.angle( + data_each[i, :, phi_real_col] + 1j * data_each[i, :, phi_imag_col] + ) + + theta_phase = theta_phase.reshape( + (theta_axis.size, phi_axis.size), order="F" + ) + phi_phase = phi_phase.reshape( + (theta_axis.size, phi_axis.size), order="F" + ) + + theta_beam = theta_mag * np.exp(1j * theta_phase) + phi_beam = phi_mag * np.exp(1j * phi_phase) + + self.data_array[0, 0, 0, i, :, :] = phi_beam + self.data_array[1, 0, 0, i, :, :] = theta_beam + + theta_mag2 = np.sqrt( + 10 ** (data_each2[i, :, theta_mag_col] / 10) + ).reshape((theta_axis.size, phi_axis.size), order="F") + phi_mag2 = np.sqrt(10 ** (data_each2[i, :, phi_mag_col] / 10)).reshape( + (theta_axis.size, phi_axis.size), order="F" + ) + theta_phase2 = np.angle( + data_each2[i, :, theta_real_col] + + 1j * data_each2[i, :, theta_imag_col] + ) + phi_phase2 = np.angle( + data_each2[i, :, phi_real_col] + 1j * data_each2[i, :, phi_imag_col] + ) + + theta_phase2 = theta_phase2.reshape( + (theta_axis.size, phi_axis.size), order="F" + ) + phi_phase2 = phi_phase2.reshape( + (theta_axis.size, phi_axis.size), order="F" + ) + + theta_beam2 = theta_mag2 * np.exp(1j * theta_phase2) + phi_beam2 = phi_mag2 * np.exp(1j * phi_phase2) + + self.data_array[0, 0, 1, i, :, :] = phi_beam2 + self.data_array[1, 0, 1, i, :, :] = theta_beam2 + + self.bandpass_array[0] = 1 + + if frequency is None: + warnings.warn( + f"No frequency provided. Detected frequency is: {self.freq_array} Hz" + ) + + if run_check: + self.check( + check_extra=check_extra, + run_check_acceptability=run_check_acceptability, + check_auto_power=check_auto_power, + fix_auto_power=fix_auto_power, + ) diff --git a/src/pyuvdata/uvbeam/uvbeam.py b/src/pyuvdata/uvbeam/uvbeam.py index 48c10caee3..cd78ffc687 100644 --- a/src/pyuvdata/uvbeam/uvbeam.py +++ b/src/pyuvdata/uvbeam/uvbeam.py @@ -3981,6 +3981,377 @@ def read_cst_beam( self.filename = utils.tools._combine_filenames(self.filename, [basename]) self._filename.form = (len(self.filename),) + def read_feko_beam( + self, + filename, + beam_type="power", + use_future_array_shapes=False, + feed_pol=None, + rotate_pol=None, + frequency=None, + telescope_name=None, + feed_name=None, + feed_version=None, + model_name=None, + model_version=None, + history=None, + x_orientation=None, + reference_impedance=None, + extra_keywords=None, + frequency_select=None, + run_check=True, + check_extra=True, + run_check_acceptability=True, + check_auto_power=True, + fix_auto_power=True, + ): + """ + Read in data from a FEKO file. + + Parameters + ---------- + filename : str + Either a settings yaml file or a FEKO text file + + Settings yaml files must include the following keywords: + + | - telescope_name (str) + | - feed_name (str) + | - feed_version (str) + | - model_name (str) + | - model_version (str) + | - history (str) + | - frequencies (list(float)) + | - feko ffe filename (str) -- path relative to yaml file + | - feed_pol (str) or (list(str)) + + and they may include the following optional keywords: + + | - x_orientation (str): Optional but strongly encouraged! + | - ref_imp (float): beam model reference impedance + | - sim_beam_type (str): e.g. 'E-farfield' + | - all other fields will go into the extra_keywords attribute + + More details and an example are available in the docs + (FEKO_settings_yaml.rst). + Specifying any of the associated keywords to this function will + override the values in the settings file. + beam_type : str + What beam_type to read in ('power' or 'efield'). + use_future_array_shapes : bool + Option to convert to the future planned array shapes before the changes go + into effect by removing the spectral window axis. + feed_pol : str + The feed or polarization or list of feeds or polarizations the + files correspond to. + Defaults to 'x' (meaning x for efield or xx for power beams). + frequency : float or list of float, optional + The frequency or list of frequencies corresponding to the filename(s). + This is assumed to be in the same order as the files. + If not passed, the code attempts to parse it from the filenames. + telescope_name : str, optional + The name of the telescope corresponding to the filename(s). + feed_name : str, optional + The name of the feed corresponding to the filename(s). + feed_version : str, optional + The version of the feed corresponding to the filename(s). + model_name : str, optional + The name of the model corresponding to the filename(s). + model_version : str, optional + The version of the model corresponding to the filename(s). + history : str, optional + A string detailing the history of the filename(s). + x_orientation : str, optional + Orientation of the physical dipole corresponding to what is + labelled as the x polarization. Options are "east" (indicating + east/west orientation) and "north" (indicating north/south orientation) + reference_impedance : float, optional + The reference impedance of the model(s). + extra_keywords : dict, optional + A dictionary containing any extra_keywords. + frequency_select : list of float, optional + Only used if the file is a yaml file. Indicates which frequencies + to include (only read in files for those frequencies) + run_check : bool + Option to check for the existence and proper shapes of + required parameters after reading in the file. + check_extra : bool + Option to check optional parameters as well as + required ones. + run_check_acceptability : bool + Option to check acceptable range of the values of + required parameters after reading in the file. + check_auto_power : bool + For power beams, check whether the auto polarization beams have non-zero + imaginary values in the data_array (which should not mathematically exist). + fix_auto_power : bool + For power beams, if auto polarization beams with imaginary values are found, + fix those values so that they are real-only in data_array. + + """ + from . import feko_beam + + if not isinstance(filename, list | tuple) and filename.endswith("yaml"): + settings_dict = self._read_feko_beam_yaml(filename) + if not isinstance(settings_dict["frequencies"], list): + raise ValueError("frequencies in yaml file must be a list.") + yaml_dir = os.path.dirname(filename) + feko_filename = [ + os.path.join(yaml_dir, f) for f in settings_dict["filename"] + ] + + overriding_keywords = { + "feed_pol": feed_pol, + "frequency": frequency, + "telescope_name": telescope_name, + "feed_name": feed_name, + "feed_version": feed_version, + "model_name": model_name, + "model_version": model_version, + "history": history, + } + if "ref_imp" in settings_dict: + overriding_keywords["reference_impedance"] = reference_impedance + if "x_orientation" in settings_dict: + overriding_keywords["x_orientation"] = reference_impedance + for key, val in overriding_keywords.items(): + if val is not None: + warnings.warn( + f"The {key} keyword is set, overriding the " + "value in the settings yaml file." + ) + + if feed_pol is None: + feed_pol = settings_dict["feed_pol"] + if frequency is None: + frequency = settings_dict["frequencies"] + if telescope_name is None: + telescope_name = settings_dict["telescope_name"] + if feed_name is None: + feed_name = settings_dict["feed_name"] + if feed_version is None: + feed_version = str(settings_dict["feed_version"]) + if model_name is None: + model_name = settings_dict["model_name"] + if model_version is None: + model_version = str(settings_dict["model_version"]) + if history is None: + history = settings_dict["history"] + if reference_impedance is None and "ref_imp" in settings_dict: + reference_impedance = float(settings_dict["ref_imp"]) + if x_orientation is None and "x_orientation" in settings_dict: + x_orientation = settings_dict["x_orientation"] + + if extra_keywords is None: + extra_keywords = {} + + known_keys = [ + "telescope_name", + "feed_name", + "feed_version", + "model_name", + "model_version", + "history", + "frequencies", + "filenames", + "feed_pol", + "ref_imp", + "x_orientation", + ] + # One of the standard paramters in the settings yaml file is + # longer than 8 characters. + # This causes warnings and straight truncation when writing to + # beamfits files + # To avoid these, this defines a standard renaming of that paramter + rename_extra_keys_map = {"sim_beam_type": "sim_type"} + for key, value in settings_dict.items(): + if key not in known_keys: + if key in rename_extra_keys_map: + extra_keywords[rename_extra_keys_map[key]] = value + else: + extra_keywords[key] = value + + if frequency_select is not None: + freq_inds = [] + for freq in frequency_select: + freq_array = np.array(frequency, dtype=np.float64) + close_inds = np.where( + np.isclose( + freq_array, + freq, + rtol=self._freq_array.tols[0], + atol=self._freq_array.tols[1], + ) + )[0] + if close_inds.size > 0: + for ind in close_inds: + freq_inds.append(ind) + else: + raise ValueError(f"frequency {freq} not in frequency list") + freq_inds = np.array(freq_inds) + frequency = freq_array[freq_inds].tolist() + feko_filename = np.array(feko_filename)[freq_inds].tolist() + if len(feko_filename) == 1: + feko_filename = feko_filename[0] + if isinstance(feed_pol, list): + if rotate_pol is None: + # if a mix of feed pols, don't rotate by default + # do this here in case selections confuse this test + if np.any(np.array(feed_pol) != feed_pol[0]): + rotate_pol = False + else: + rotate_pol = True + feed_pol = np.array(feed_pol)[freq_inds].tolist() + + else: + feko_filename = filename + + if feed_pol is None: + # default to x (done here in case it's specified in a yaml file) + feed_pol = "x" + if history is None: + # default to empty (done here in case it's specified in a yaml file) + history = "" + + if isinstance(frequency, np.ndarray): + if len(frequency.shape) > 1: + raise ValueError("frequency can not be a multi-dimensional array") + frequency = frequency.tolist() + if isinstance(frequency, list | tuple) and len(frequency) == 1: + frequency = frequency[0] + + if isinstance(feed_pol, np.ndarray): + if len(feed_pol.shape) > 1: + raise ValueError("feed_pol can not be a multi-dimensional array") + feed_pol = feed_pol.tolist() + if isinstance(feed_pol, list | tuple) and len(feed_pol) == 1: + feed_pol = feed_pol[0] + + if isinstance(feko_filename, list | tuple): + if frequency is not None: + if isinstance(frequency, list | tuple): + if not len(frequency) == len(feko_filename): + raise ValueError( + "If frequency and filename are both " + "lists they need to be the same length" + ) + freq = frequency[0] + else: + freq = frequency + else: + freq = None + + if isinstance(feed_pol, list | tuple): + if not len(feed_pol) == len(feko_filename): + raise ValueError( + "If feed_pol and filename are both " + "lists they need to be the same length" + ) + pol = feed_pol[0] + + else: + pol = feed_pol + + if isinstance(freq, list | tuple): + raise ValueError("frequency can not be a nested list") + if isinstance(pol, list | tuple): + raise ValueError("feed_pol can not be a nested list") + self.read_feko_beam( + feko_filename[0], + beam_type=beam_type, + use_future_array_shapes=use_future_array_shapes, + feed_pol=pol, + frequency=freq, + telescope_name=telescope_name, + feed_name=feed_name, + feed_version=feed_version, + model_name=model_name, + model_version=model_version, + history=history, + x_orientation=x_orientation, + reference_impedance=reference_impedance, + extra_keywords=extra_keywords, + run_check=run_check, + check_extra=check_extra, + run_check_acceptability=run_check_acceptability, + check_auto_power=check_auto_power, + fix_auto_power=fix_auto_power, + ) + for file_i, f in enumerate(feko_filename[1:]): + if isinstance(f, list | tuple): + raise ValueError("filename can not be a nested list") + + if isinstance(frequency, list | tuple): + freq = frequency[file_i + 1] + elif frequency is not None: + freq = frequency + else: + freq = None + if isinstance(feed_pol, list | tuple): + pol = feed_pol[file_i + 1] + else: + pol = feed_pol + beam2 = UVBeam() + beam2.read_feko_beam( + f, + beam_type=beam_type, + use_future_array_shapes=use_future_array_shapes, + feed_pol=pol, + frequency=freq, + telescope_name=telescope_name, + feed_name=feed_name, + feed_version=feed_version, + model_name=model_name, + model_version=model_version, + history=history, + x_orientation=x_orientation, + reference_impedance=reference_impedance, + extra_keywords=extra_keywords, + run_check=run_check, + check_extra=check_extra, + run_check_acceptability=run_check_acceptability, + check_auto_power=check_auto_power, + fix_auto_power=fix_auto_power, + ) + self += beam2 + if len(feko_filename) > 1: + del beam2 + else: + if isinstance(frequency, list | tuple): + raise ValueError("Too many frequencies specified") + if isinstance(feed_pol, list | tuple): + raise ValueError("Too many feed_pols specified") + feko_beam_obj = feko_beam.FEKOBeam() + feko_beam_obj.read_feko_beam( + feko_filename, + beam_type=beam_type, + use_future_array_shapes=use_future_array_shapes, + feed_pol=feed_pol, + frequency=frequency, + telescope_name=telescope_name, + feed_name=feed_name, + feed_version=feed_version, + model_name=model_name, + model_version=model_version, + history=history, + x_orientation=x_orientation, + reference_impedance=reference_impedance, + extra_keywords=extra_keywords, + run_check=run_check, + check_extra=check_extra, + run_check_acceptability=run_check_acceptability, + check_auto_power=check_auto_power, + fix_auto_power=fix_auto_power, + ) + self._convert_from_filetype(feko_beam_obj) + del feko_beam_obj + + if not isinstance(filename, list | tuple) and filename.endswith("yaml"): + # update filelist + basename = os.path.basename(filename) + self.filename = utils._combine_filenames(self.filename, [basename]) + self._filename.form = (len(self.filename),) + def read_mwa_beam(self, h5filepath, **kwargs): """ Read in the full embedded element MWA beam. @@ -4109,7 +4480,7 @@ def read( override the values in the settings file. file_type : str - One of ['mwa_beam', 'beamfits', 'cst'] or None. + One of ['mwa_beam', 'beamfits', 'cst', 'feko'] or None. If None, the code attempts to guess what the file type is. based on file extensions (mwa_beam: .hdf5, .h5; cst: .yaml, .txt; beamfits: .fits, .beamfits). @@ -4165,8 +4536,8 @@ def read( type files. For beamfits, this will cause a *partial read* (i.e. reduce peak memory usage). - CST - --- + CST -or- FEKO + ------------- beam_type : str What beam_type to read in ('power' or 'efield'). Only applies to cst file types. @@ -4261,6 +4632,8 @@ def read( file_type = "mwa_beam" elif extension == ".txt" or extension == ".yaml": file_type = "cst" + elif extension == ".ffe": + file_type = "feko" if file_type is None: raise ValueError( @@ -4448,6 +4821,30 @@ def read( za_range=za_range, freq_range=freq_range, ) + elif file_type == "feko": + self.read_feko_beam( + filename, + use_future_array_shapes=use_future_array_shapes, + beam_type=beam_type, + feed_pol=feed_pol, + rotate_pol=rotate_pol, + frequency=frequency, + telescope_name=telescope_name, + feed_name=feed_name, + feed_version=feed_version, + model_name=model_name, + model_version=model_version, + history=history, + x_orientation=x_orientation, + reference_impedance=reference_impedance, + extra_keywords=extra_keywords, + frequency_select=frequency_select, + run_check=run_check, + check_extra=check_extra, + run_check_acceptability=run_check_acceptability, + check_auto_power=check_auto_power, + fix_auto_power=fix_auto_power, + ) @classmethod @copy_replace_short_description(read, style=DocstringStyle.NUMPYDOC) diff --git a/tests/uvbeam/test_feko_beam.py b/tests/uvbeam/test_feko_beam.py new file mode 100644 index 0000000000..21f1434f65 --- /dev/null +++ b/tests/uvbeam/test_feko_beam.py @@ -0,0 +1,54 @@ +import os + +import numpy as np + +from pyuvdata import UVBeam +from pyuvdata.data import DATA_PATH + +filename = "OVRO_LWA_x.ffe" +feko_folder = "OVRO_LWA_FEKOBeams" +feko_filename = os.path.join(DATA_PATH, feko_folder, filename) +feko_filename2 = feko_filename.replace("x", "y") + + +def test_read_power(): + beam1 = UVBeam() + beam2 = UVBeam() + + beam_feko1 = beam1.from_file( + feko_filename, + beam_type="power", + frequency=None, + feed_pol="x", + telescope_name="LWA", + feed_name="LWA", + feed_version="1", + model_name="FEKO_MROsoil", + model_version="1.0", + ) + + beam_feko2 = beam2.from_file( + feko_filename2, + beam_type="power", + frequency=None, + feed_pol="y", + telescope_name="LWA", + feed_name="LWA", + feed_version="1", + model_name="FEKO_MROsoil", + model_version="1.0", + ) + + assert beam_feko1.beam_type == "power" + assert beam_feko2.beam_type == "power" + assert len(beam_feko1.freq_array) == 3 + assert len(beam_feko1.freq_array) == len(beam_feko2.freq_array) + assert beam_feko1.data_array.shape == (1, 1, 3, 181, 181) + assert beam_feko2.data_array.shape == beam_feko1.data_array.shape + + assert np.allclose( + beam_feko1.data_array[0, :, :, 0, np.where(beam_feko1.axis1_array == 0)[0]], + beam_feko1.data_array[ + 0, :, :, 0, np.where(beam_feko1.axis1_array == np.pi / 2.0)[0] + ], + )